BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving

12 March 2023

Papers citing "BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving"

16 / 16 papers shown

Title
SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies Matt Vitelli Yan-Xia Chang Yawei Ye Maciej Wołczyk Bla.zej Osiñski Moritz Niendorf Hugo Grimmett Qiangui Huang Ashesh Jain Peter Ondruska 42 80 0 28 Sep 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding Xinming Zhang Ningning Ma Jungong Han Guiguang Ding Jian Sun 219 1,567 0 11 Jan 2021
One Thousand and One Hours: Self-driving Motion Prediction Dataset J. Houston G. Zuidhof Luca Bergamini Yawei Ye Long Chen Ashesh Jain Sammy Omari V. Iglovikov Peter Ondruska 67 363 0 25 Jun 2020
GRNet: Gridding Residual Network for Dense Point Cloud Completion Haozhe Xie Huanjin Yao Shangchen Zhou Jiageng Mao Shengping Zhang Wenxiu Sun 3DPC 32 314 0 06 Jun 2020
How Much Position Information Do Convolutional Neural Networks Encode? Md. Amirul Islam Sen Jia Neil D. B. Bruce SSL 235 346 0 22 Jan 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kai Zhang Zhuoran Yang Tamer Basar 119 1,197 0 24 Nov 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 104 17,950 0 28 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 267 6,685 0 06 May 2019
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents Sungwon Kim Sang-gil Lee Sibo Zhang Ruigang Yang Jaehyeon Kim Tianyi Zhou 62 419 0 06 Nov 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 336 26,241 0 05 Sep 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 626 36,599 0 25 Aug 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 166 8,805 0 04 Feb 2016
Delving Deeper into Convolutional Networks for Learning Video Representations Nicolas Ballas L. Yao C. Pal Aaron Courville MDE 68 699 0 19 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 454 7,952 0 13 Jun 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 301 43,511 0 17 Sep 2014
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data David Heckerman D. Geiger D. M. Chickering TPM 96 3,980 0 27 Feb 2013